CN115081960A - Regional hollow rate information generation method and device, electronic equipment and computer medium - Google Patents
Regional hollow rate information generation method and device, electronic equipment and computer medium Download PDFInfo
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Abstract
The embodiment of the disclosure discloses a method and a device for generating regional hollow rate information, electronic equipment and computer media. One embodiment of the method comprises: collecting user information and user electricity utilization information of each user node in the alternative area to obtain a user information set and a user electricity utilization information set, wherein the user information comprises a user name and a user node address, and the user electricity utilization information comprises: user name, monthly electricity consumption information sequence; respectively carrying out data cleaning processing on the user information set and the user power utilization information set to generate a cleaning user information set and a cleaning user power utilization information set; generating a user electric power information table of a target area according to the cleaning user information set and the cleaning user electricity utilization information set; and generating the hollow rate information of the target area according to the monthly power consumption information sequence included in the user power information table. The embodiment reduces waste of power equipment resources.
Description
Technical Field
The embodiment of the disclosure relates to the field of computers, in particular to a method and a device for generating regional hollow rate information, electronic equipment and a computer medium.
Background
At present, for identification of rural hollowing, the method is generally adopted as follows: and determining the hollowing degree of the rural area according to the house distribution of the rural area shot by the satellite.
However, the following technical problems generally exist in the above manner:
firstly, the hollowing degree of the rural areas is determined through the house distribution, and the hollowing degree of the rural areas is difficult to accurately determine, so that the unreasonable layout of the power equipment is caused when the power equipment is arranged in the rural areas;
secondly, when determining whether the user is a hollow user, only the user with the electricity consumption of 0 is generally divided into hollow users, so that a large error exists between the determined rural hollowing degree and the actual rural hollowing degree, and the layout of power equipment in the rural area is unreasonable;
thirdly, the distribution of power consumption in rural areas in different period durations is not considered, so that when the hollow users are divided according to the user quantity, the division is unreasonable, and further unreasonable layout of the power equipment is caused.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose a regional hollow rate information generation method, apparatus, electronic device, and computer readable medium to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a method for generating area hollow rate information, the method including: collecting user information and user electricity utilization information of each user node in an alternative area to obtain a user information set and a user electricity utilization information set, wherein the user information comprises a user name and a user node address, and the user electricity utilization information comprises: the method comprises the following steps of user name and a monthly power consumption information sequence, wherein monthly power consumption information in the monthly power consumption information sequence comprises the following steps: a daily electricity quantity information sequence; respectively carrying out data cleaning processing on the user information set and the user power utilization information set to generate a cleaning user information set and a cleaning user power utilization information set; generating a user electric power information table of a target area according to the cleaning user information set and the cleaning user electricity utilization information set; and generating the hollow rate information of the target area according to the monthly power consumption information sequence included in the user power information table.
In a second aspect, some embodiments of the present disclosure provide an area hollow rate information generating apparatus, including: the system comprises an acquisition unit, a storage unit and a processing unit, wherein the acquisition unit is configured to acquire user information and user power consumption information of each user node in an alternative area to obtain a user information set and a user power consumption information set, the user information comprises a user name and a user node address, and the user power consumption information comprises: the method comprises the following steps of user name and a monthly power consumption information sequence, wherein monthly power consumption information in the monthly power consumption information sequence comprises the following steps: a daily electricity quantity information sequence; the cleaning unit is configured to respectively perform data cleaning processing on the user information set and the user electricity utilization information set so as to generate a cleaning user information set and a cleaning user electricity utilization information set; a first generating unit configured to generate a user power information table of a target area according to the cleaning user information set and the cleaning user power information set; and the second generating unit is configured to generate the target area hollow rate information according to the information sequence of the monthly power consumption included in the user power information table.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following advantages: by the regional hollowness rate information generation method of some embodiments of the disclosure, the accuracy of determining the degree of the rural hollowness is improved, the rationality of rural power equipment layout is improved, and the waste of power equipment resources is reduced. Specifically, the reason why the layout of the power equipment is not reasonable is that: the degree of rural hollowing is determined through house distribution, and the degree of rural hollowing is difficult to accurately determine, so that the unreasonable layout of the power equipment is caused when the power equipment is arranged in a rural area. Based on this, according to the area hollow rate information generation method of some embodiments of the present disclosure, first, user information and user power consumption information of each user node in the candidate area are collected to obtain a user information set and a user power consumption information set. Wherein, the user information includes a user name and a user node address, and the user power consumption information includes: the method comprises the following steps of user name and a monthly electricity consumption information sequence, wherein monthly electricity consumption information in the monthly electricity consumption information sequence comprises the following steps: daily electric quantity information sequence. Therefore, data support is provided for determining the hollow rate of the target area in detail. And then, respectively carrying out data cleaning processing on the user information set and the user electricity utilization information set to generate a cleaning user information set and a cleaning user electricity utilization information set. Therefore, some invalid data can be removed, and the accuracy of the subsequently generated hollow rate is convenient to improve. And then, generating a user power information table of the target area according to the cleaning user information set and the cleaning user electricity utilization information set. Therefore, the power information of each user of the target area can be determined, and the hollow rate of the target area is convenient to determine. And finally, generating the hollow rate information of the target area according to the monthly power consumption information sequence included in the user power information table. Therefore, the actual electricity using condition in the region can be utilized to determine the hollowing degree of the rural area. Therefore, the accuracy of determining the rural hollowing degree is improved, the reasonability of rural power equipment layout is improved, and the waste of power equipment resources is reduced.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
Fig. 1 is a flow diagram of some embodiments of a regional hollow rate information generation method according to the present disclosure;
FIG. 2 is a schematic block diagram of some embodiments of a regional hollow rate information generation apparatus according to the present disclosure;
FIG. 3 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and the embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a flow diagram of some embodiments of a regional hollow rate information generation method according to the present disclosure. A flow 100 of some embodiments of a regional hollow rate information generation method according to the present disclosure is shown. The method for generating the area hollow rate information comprises the following steps:
In some embodiments, an executing subject (e.g., a computing device) of the area hollow rate information generating method may collect, from the power information monitoring terminal, user information and user electricity information of each user node in the alternative area by means of wired connection or wireless connection, to obtain a user information set and a user electricity information set. Wherein, the user information includes a user name and a user node address, and the user power consumption information includes: the method comprises the following steps of user name and a monthly power consumption information sequence, wherein monthly power consumption information in the monthly power consumption information sequence comprises the following steps: daily electric quantity information sequence. Here, the power information monitoring terminal may refer to a power amount monitoring terminal (e.g., a computing device) of each user node in the alternative area. The user node may uniquely represent a user's electricity meter. The user node address may indicate the address where the electricity meter is located. The user power utilization information in the user power utilization information set further includes: the user power utilization address. The electricity utilization address of the user can indicate the address of the electricity meter. The candidate regions may represent arbitrarily chosen regions. The monthly power consumption information may represent a user's monthly power consumption information. The daily electricity consumption information may represent daily electricity consumption information of a user.
And 102, respectively carrying out data cleaning processing on the user information set and the user electricity utilization information set to generate a cleaning user information set and a cleaning user electricity utilization information set.
In some embodiments, the execution subject may perform data cleaning processing on the user information set and the user power consumption information set respectively to generate a cleaning user information set and a cleaning user power consumption information set. Here, the data cleansing process may be to remove null values or abnormal values in the user information set and the user power consumption information set, respectively. For example, the user information with the null user name or user node address included in the user information set is removed. And removing the user electricity utilization information with the user name or the electricity utilization information sequence which is contained in the user electricity utilization information set as empty. Or removing the user electricity utilization information which is included in the user electricity utilization information set and does not meet the quantity condition in the electricity utilization information sequence. The above quantity conditions may be: the used amount information sequence includes used amount information of which the number is equal to or greater than a target value. Here, the setting of the target value is not limited. For example, the target value may be 12.
And 103, generating a user power information table of the target area according to the cleaning user information set and the cleaning user power utilization information set.
In some embodiments, the execution body may generate a user power information table of the target area according to the cleaning user information set and the cleaning user power information set. The target area may be a rural area divided from the candidate area and having a hollow rate of an area to be detected.
In practice, according to the cleaning user information set and the cleaning user electricity information set, the executing body may generate a user electricity information table of the target area by:
the first step, for each cleaning user information in the cleaning user information set, executing the following processing steps:
the first substep is to determine whether the washing user power consumption information set has washing user power consumption information with the same user name as the user name included in the washing user information.
And a second substep, in response to determining that the washing user power consumption information which includes the same user name as the washing user information and is concentrated in the washing user power consumption information exists, determining whether the user power consumption address included in the alternative washing user power consumption information is the same as the user node address included in the washing user information. Wherein, the electricity consumption information of the alternative cleaning user is as follows: and the washing user electricity consumption information is the same in user name included in the washing user electricity consumption information set and the user name included in the washing user information.
And a third substep of combining the washing user information and the alternative washing user power information into power information in response to determining that the user power address included in the alternative washing user power information is the same as the user node address included in the washing user information. Here, combining may refer to splicing.
And a second step of selecting power information in the target area including the user power utilization address from the generated power information as user power information to obtain a user power information group.
And thirdly, constructing the user power information group into a user power information table. In practice, the empty table of the customer power information may be constructed by using each field name included in the customer power information as a row field. The customer power information set may then be input into a customer power information empty table to generate a customer power information table.
And 104, generating the hollow rate information of the target area according to the information sequence of the monthly power consumption included in the user power information table.
In some embodiments, the execution subject may generate the target area hollow rate information according to the information sequence of the individual monthly power consumptions included in the user power information table. The daily electricity consumption information in the daily electricity consumption information sequence includes: the daily electric quantity.
In practice, according to the information sequence of the electricity consumption of each month included in the user electricity information table, the execution main body may generate the target area hollow rate information by:
and step one, generating hollow user information according to the monthly electricity consumption information sequence in the monthly electricity consumption information sequences.
In practice, the above-mentioned first step may comprise the following sub-steps:
the first substep is to determine whether the monthly power consumption information meeting a first preset condition exists in the monthly power consumption information sequence. Wherein the first preset condition is as follows: the monthly electricity consumption amount information includes a number of daily electricity amounts that are continuously 0 in the sequence of the daily electricity amount information that is equal to or greater than a first number.
And a second substep of generating a monthly blank user identifier corresponding to the monthly blank information sequence in response to determining that the monthly blank information meeting the first preset condition exists in the monthly blank information sequence. Here, the monthly outline user identification may indicate that there is no user usage electricity for a certain month of the corresponding user node.
And a third substep of determining whether each piece of monthly power consumption information in the monthly power consumption information sequence meets the first preset condition.
And a fourth substep, in response to determining that each piece of monthly power consumption information in the monthly power consumption information sequence meets the first preset condition, generating a long-term open user identifier corresponding to the monthly power consumption information sequence. Here, the long-term hollow user identification may indicate that no user usage amount per month corresponds to the monthly power usage information sequence.
And a fifth substep, combining the monthly hollow user identifier and the long-term hollow user identifier into hollow user information.
Optionally, the first step may further include:
and a sixth substep of determining whether the monthly power consumption information satisfying the second preset condition exists in the monthly power consumption information sequence in response to determining that the monthly power consumption information satisfying the first preset condition does not exist in the monthly power consumption information sequence. Wherein the second preset condition is: the monthly electricity consumption information comprises a daily electricity consumption information sequence, the quantity of each daily electricity consumption in a target value interval is larger than or equal to the first quantity, and the variance of each daily electricity consumption in the target value interval is smaller than or equal to a preset value. The target value interval is: greater than 0 and less than the target value. Here, the setting of the target value is not limited.
And a seventh substep of generating a monthly blank user identifier corresponding to the monthly blank information sequence in response to determining that the monthly blank information meeting the second preset condition exists in the monthly blank information sequence.
And an eighth substep, combining the monthly outlined user identifier and the long-term outlined user identifier into outlined user information.
The related content in the sixth substep to the seventh substep is taken as an invention point of the present disclosure, thereby solving the technical problem two mentioned in the background art, that is, when determining whether a user is a hollow user, only the user with the power consumption of 0 is generally divided into hollow users, so that a great error exists between the determined rural hollowing degree and the actual rural hollowing degree, and the layout of the power equipment in the rural area is unreasonable. ". Factors that cause unreasonable layout of power equipment in rural areas tend to be as follows: when determining whether the user is a hollow user, the user with the electricity consumption of 0 is generally only divided into hollow users, so that a large error exists between the determined rural hollowing degree and the actual rural hollowing degree, and the layout of the power equipment in the rural area is unreasonable. If the factors are solved, the effect of reasonable layout of rural power equipment can be achieved. To achieve this effect, first, in response to determining that the monthly power consumption information satisfying the first preset condition does not exist in the monthly power consumption information series, it is determined whether monthly power consumption information satisfying a second preset condition exists in the monthly power consumption information series. Wherein the second preset condition is: the monthly electricity consumption information comprises a daily electricity consumption information sequence, the quantity of each daily electricity consumption in a target value interval is larger than or equal to the first quantity, and the variance of each daily electricity consumption in the target value interval is smaller than or equal to a preset value. Therefore, residents with less partial power consumption or temporary power consumption can be divided into hollow users. And then, in response to the fact that the monthly electricity consumption information meeting the second preset condition exists in the monthly electricity consumption information sequence, generating a monthly hollow user identifier corresponding to the monthly electricity consumption information sequence. Therefore, the hollowing degree of the rural area can be accurately divided. The rationality of subsequent rural power equipment layout is improved.
Optionally, before the sixth substep, the first step may further comprise:
the first step is to obtain a periodic time length electricity consumption amount prediction table corresponding to the target area. The electricity consumption prediction table for the period duration comprises period distribution probabilities of the period durations and predicted electricity consumption sequences, the period distribution probabilities of the period durations correspond to the predicted electricity consumption sequences in the predicted electricity consumption sequences, and the electricity consumption prediction table for the period duration represents the total electricity consumption of the target area under different period durations, and the total electricity consumption is predicted through quantiles. In practice, here, the predicted power usage may represent the total predicted power usage of the target area over the period of time. Here, each predicted power consumption sequence is a predicted power consumption of different quantiles within a certain period duration predicted by means of quantile regression according to the total power consumption within each historical period duration of the target area. The predicted power usage in each sequence of predicted power usage corresponds to a fraction (decimal). The period distribution probability may represent a distribution probability of the period duration in each period duration.
For example, the cycle duration electricity usage prediction table may be:
where x (Si) may represent the period distribution probability of the period duration Si. Si may represent the ith cycle duration. S1, S2, S3 may respectively represent the 1 st cycle duration, the 2 nd cycle duration, and the 3 rd cycle duration. The period distribution probability corresponding to the 1 st period duration is 0.2. The period distribution probability corresponding to the 2 nd period duration is 0.25. The period distribution probability corresponding to the 3 rd period duration is 0.3. 0. 0.1, 0.2 may represent different quantiles. 131. 141, 167 may represent predicted power usage in different quantiles with the cycle duration S1. 145. 155, 171 may represent predicted power usage in different quantiles with the cycle duration S2. 152. 171, 186 may represent predicted power usage in different quantiles with the cycle duration S3.
And a second step of generating a target numerical value according to the cycle distribution probability and the predicted power consumption sequence included in the cycle duration power consumption prediction table.
In practice, the second step described above may comprise the following steps:
firstly, the maximum predicted electricity consumption and the minimum predicted electricity consumption which are included in the electricity consumption prediction table of the period duration are respectively determined as a first predicted electricity consumption and a second predicted electricity consumption.
And secondly, performing division processing on the first predicted power consumption and the second predicted power consumption to generate a first divided power consumption and a second divided power consumption. In practice, first, a difference value between the first predicted used amount of electricity and the second predicted used amount of electricity is determined as a predicted amount of electricity difference value. And then, determining the product of the predicted electric quantity difference value and a first preset coefficient as a first predicted electric quantity. And then, determining the product of the predicted electric quantity difference value and a second preset coefficient as a second predicted electric quantity. The first preset coefficient and the second preset coefficient are both smaller than 1 and larger than 0. The sum of the first preset coefficient and the second preset coefficient is 1. The first preset coefficient is less than or equal to the second preset coefficient. Then, the sum of the first predicted electric quantity and the second predicted electric quantity may be determined as a first divided electric quantity. Finally, the sum of the first predicted electric quantity and the first predicted electric quantity may be determined as a second divided electric quantity.
And thirdly, generating a first electric quantity distribution value corresponding to the first division electric quantity and a second electric quantity distribution value corresponding to the second division electric quantity according to the electricity consumption prediction table of the period duration. The column field of the electricity consumption prediction table for the period duration is the period distribution probability of each period duration, the period distribution probabilities of the period durations included in the electricity consumption prediction table for the period duration are arranged in a descending order according to each period duration, and the predicted electricity consumptions included in the predicted electricity consumption sequences are arranged in a descending order.
In practice, according to the electricity consumption prediction table for the period duration, a first electricity distribution value corresponding to the first divided electricity consumption and a second electricity distribution value corresponding to the second divided electricity consumption may be generated by:
1. for each period distribution probability in the period distribution probabilities of the respective period durations, executing the following processing steps:
1) and selecting a predicted power consumption sequence corresponding to the period distribution probability from the period duration power consumption prediction table as an alternative predicted power consumption sequence.
2) And selecting the alternative predicted electricity consumption corresponding to the first divided electricity consumption from the alternative predicted electricity consumption sequence to serve as a first alternative predicted electricity consumption. Wherein the first candidate predicted power consumption is less than or equal to the first split power consumption, and the first candidate predicted power consumption is: the maximum alternative predicted power usage in the sequence of alternative predicted power usages is less than or equal to the first split power usage.
3) And selecting the alternative predicted power consumption corresponding to the second division power consumption from the alternative predicted power consumption sequence as a second alternative predicted power consumption. Wherein the second candidate predicted power consumption is less than or equal to the second split power consumption, and the second candidate predicted power consumption is: and the maximum alternative predicted power consumption in the alternative predicted power consumption sequence is less than or equal to the second divided power consumption.
2. And generating a first electricity distribution value according to the cycle distribution probability of each cycle duration and each selected first alternative predicted electricity consumption. In practice, first, for each of the first candidate predicted power consumptions, an average value of a quantile corresponding to the first candidate predicted power consumption and the first quantile is determined as a first distribution probability of the first candidate predicted power consumption. Wherein the first quantile is: and a quantile corresponding to the maximum candidate predicted power consumption which is greater than or equal to the first candidate predicted power consumption in the candidate predicted power consumption sequence corresponding to the first candidate predicted power consumption. Then, the sum of the determined first distribution probabilities is determined as a first power distribution value.
3. And generating a second electricity distribution value according to the cycle distribution probability of each cycle duration and each selected second alternative predicted electricity consumption. In practice, first, for each of the second candidate predicted power consumptions, an average value of a quantile corresponding to the second candidate predicted power consumption and the second quantile is determined as a second distribution probability of the first candidate predicted power consumption. Wherein the second score is: and a quantile corresponding to the maximum candidate predicted power consumption which is greater than or equal to the second candidate predicted power consumption in the candidate predicted power consumption sequence corresponding to the second candidate predicted power consumption. Then, the sum of the determined second distribution probabilities is determined as a second electric quantity distribution value.
Fourthly, generating a target numerical value according to the first electric quantity distribution value and the second electric quantity distribution value.
In practice, according to the first electric quantity distribution value and the second electric quantity distribution value, the target value can be generated through the following steps:
1. and determining the maximum value of the first electricity distribution value and the second electricity distribution value as a first target electricity distribution value.
2. And determining the minimum value of the first electric quantity distribution value and the second electric quantity distribution value as a second target electric quantity distribution value.
3. And in response to determining that the difference between the first target power consumption distribution value and the second target power consumption distribution value is less than or equal to a preset threshold value, determining the first target power consumption distribution value as a target numerical value.
And a third step of constructing a second preset condition according to the target value. In practice, the second preset condition may be set to: in the daily electricity consumption information sequence included in the monthly electricity consumption information, the quantity of each daily electricity consumption in a target value interval is greater than or equal to the first quantity, the variance of each daily electricity consumption in the target value interval is less than or equal to a preset value, and the target value interval is as follows: greater than 0 and less than the target value.
The related content in the first step to the third step is an inventive point of the present disclosure, thereby solving the technical problem mentioned in the background art that "distribution of power consumption in rural areas in different period durations is not considered, which causes unreasonable division when dividing the hollow users according to the user amount, and further causes unreasonable layout of the power equipment. ". Factors contributing to the unreasonable layout of the power equipment tend to be as follows: distribution of power consumption in rural areas in different periods is not considered, so that when the hollow users are divided according to the user quantity, the division is unreasonable, and further unreasonable layout of power equipment is caused. If the factors are solved, the effect of reasonable layout of rural power equipment can be achieved. In order to achieve this effect, first, a cycle time consumption amount prediction table corresponding to the target area is obtained. The electricity consumption prediction table for the period duration comprises period distribution probabilities of the period durations and predicted electricity consumption sequences, the period distribution probabilities of the period durations correspond to the predicted electricity consumption sequences in the predicted electricity consumption sequences, and the electricity consumption prediction table for the period duration represents the total electricity consumption of the target area under different period durations, and the total electricity consumption is predicted through quantiles. Thus, the power consumption of the target area can be determined according to different cycle time lengths. And then, generating a target numerical value according to the cycle distribution probability and the predicted electricity consumption sequence included in the cycle duration electricity consumption prediction table. Thus, the power consumption (target value) of the target area, which characterizes the core user, can be determined using different period distribution probabilities. And because the electric equipment is replaced, the predicted power consumption for representing the hollow users in the target area is determined by utilizing the predicted power consumption, so that the predicted power consumption for representing the hollow users can be more appropriate to the actual demand. Thus, the rationality of the layout of the electrical equipment is improved.
And secondly, generating the hollow rate information of the target area according to the generated hollow user information.
In practice, the above-mentioned second step may comprise the following sub-steps:
the first substep, determine the number of the customer's electricity consumption address in the above-mentioned target area as the total electricity customer number.
And a second substep, determining the number of the monthly hollow user identifications included in the hollow user information as the number of the monthly hollow users.
And a third substep, determining the number of each long-term hollow user mark included in each hollow user information as the number of the long-term hollow users.
And a fourth substep of determining the ratio of the number of the monthly air users to the total number of the electric power users as the regional monthly air rate.
And a fifth substep of determining a ratio of the number of the long-term air users to the total number of the power users as a regional long-term monthly air rate.
And a sixth substep of combining the region monthly voidage and the region long-term monthly voidage into target region voidage information.
Optionally, the power equipment in the target area is replaced and adjusted according to the target area hollow rate information.
In some embodiments, the execution subject may replace the electric device in the target area in response to the long-term monthly air void ratio of the area included in the target area air void ratio information being equal to or greater than a first air void ratio or the monthly air void ratio of the area being equal to or greater than a second air void ratio. For example, the transformer in the target area may be replaced with a low power transformer.
The above embodiments of the present disclosure have the following advantages: by the regional hollowness rate information generation method of some embodiments of the disclosure, the accuracy of determining the degree of the rural hollowness is improved, the rationality of rural power equipment layout is improved, and the waste of power equipment resources is reduced. Specifically, the reason why the layout of the power equipment is not reasonable is that: the degree of rural hollowing is determined through house distribution, and the degree of rural hollowing is difficult to accurately determine, so that the unreasonable layout of the power equipment is caused when the power equipment is arranged in a rural area. Based on this, according to the area hollow rate information generation method of some embodiments of the present disclosure, first, user information and user power consumption information of each user node in the candidate area are collected to obtain a user information set and a user power consumption information set. Wherein, the user information includes a user name and a user node address, and the user power consumption information includes: the method comprises the following steps of user name and a monthly electricity consumption information sequence, wherein monthly electricity consumption information in the monthly electricity consumption information sequence comprises the following steps: daily electric quantity information sequence. Therefore, data support is provided for determining the hollow rate of the target area in detail. And then, respectively carrying out data cleaning processing on the user information set and the user electricity utilization information set to generate a cleaning user information set and a cleaning user electricity utilization information set. Therefore, some invalid data can be removed, and the accuracy of the subsequently generated hollow rate is convenient to improve. And then, generating a user power information table of the target area according to the cleaning user information set and the cleaning user power information set. Therefore, the power information of each user of the target area can be determined, and the hollow rate of the target area is convenient to determine. And finally, generating the hollow rate information of the target area according to the monthly power consumption information sequence included in the user power information table. Therefore, the actual electricity using condition in the region can be utilized to determine the hollowing degree of the rural area. Therefore, the accuracy of determining the rural hollowing degree is improved, the reasonability of rural power equipment layout is improved, and the waste of power equipment resources is reduced.
With further reference to fig. 2, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a regional hollow rate information generation system, which correspond to those shown in fig. 1, and which can be applied in various electronic devices.
As shown in fig. 2, the regional hollow rate information generating apparatus 200 of some embodiments includes: an acquisition unit 201, a cleaning unit 202, a first generation unit 203 and a second generation unit 204. The collecting unit 201 is configured to collect user information and user power consumption information of each user node in the alternative area to obtain a user information set and a user power consumption information set, where the user information includes a user name and a user node address, and the user power consumption information includes: the method comprises the following steps of user name and a monthly electricity consumption information sequence, wherein monthly electricity consumption information in the monthly electricity consumption information sequence comprises the following steps: a daily electricity quantity information sequence; a cleaning unit 202 configured to perform data cleaning processing on the user information set and the user power consumption information set respectively to generate a cleaning user information set and a cleaning user power consumption information set; a first generating unit 203 configured to generate a user power information table of a target area according to the cleaning user information set and the cleaning user power information set; and a second generating unit 204 configured to generate target area air ratio information according to the information sequence of the individual monthly power consumptions included in the user power information table.
It will be understood that the units described in the apparatus 200 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 200 and the units included therein, and are not described herein again.
Referring now to FIG. 3, shown is a schematic block diagram of an electronic device 300 (e.g., a computing device) suitable for use in implementing some embodiments of the present disclosure. The electronic devices in some embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM303, various programs and data necessary for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM302, and the RAM303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Generally, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 308 including, for example, magnetic tape, hard disk, etc.; and a communication device 309. The communication means 309 may allow the electronic device 300 to communicate wirelessly or by wire with other devices to exchange data. While fig. 3 illustrates an electronic device 300 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 3 may represent one device or may represent multiple devices, as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. The computer program, when executed by the processing apparatus 301, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: collecting user information and user electricity utilization information of each user node in an alternative area to obtain a user information set and a user electricity utilization information set, wherein the user information comprises a user name and a user node address, and the user electricity utilization information comprises: the method comprises the following steps of user name and a monthly electricity consumption information sequence, wherein monthly electricity consumption information in the monthly electricity consumption information sequence comprises the following steps: a daily electricity quantity information sequence; respectively carrying out data cleaning processing on the user information set and the user power utilization information set to generate a cleaning user information set and a cleaning user power utilization information set; generating a user electric power information table of a target area according to the cleaning user information set and the cleaning user electricity utilization information set; and generating the hollow rate information of the target area according to the monthly power consumption information sequence included in the user power information table.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a cleaning unit, a first generation unit, and a second generation unit. The names of these units do not limit the unit itself in some cases, and for example, the cleaning unit may be further described as "a unit that performs data cleaning processing on the user information set and the user electricity information set to generate a cleaning user information set and a cleaning user electricity information set, respectively".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (9)
1. A method for generating regional hollow rate information comprises the following steps:
collecting user information and user electricity utilization information of each user node in an alternative area to obtain a user information set and a user electricity utilization information set, wherein the user information comprises a user name and a user node address, and the user electricity utilization information comprises: the method comprises the following steps of user name and a monthly electricity consumption information sequence, wherein monthly electricity consumption information in the monthly electricity consumption information sequence comprises the following steps: a daily electricity quantity information sequence;
respectively carrying out data cleaning processing on the user information set and the user power utilization information set to generate a cleaning user information set and a cleaning user power utilization information set;
generating a user electric power information table of a target area according to the cleaning user information set and the cleaning user electricity utilization information set;
and generating the target area hollow rate information according to the monthly power consumption information sequence included in the user power information table.
2. The method of claim 1, wherein the user power information in the set of user power information further comprises: a user electricity utilization address; and
the generating of the user power information table of the target area according to the cleaning user information set and the cleaning user power consumption information set comprises the following steps:
for each washing user information in the washing user information set, performing the following processing steps:
determining whether the washing user electricity utilization information set has washing user electricity utilization information which comprises a user name identical to a user name comprised by the washing user information;
in response to determining that the washing user power utilization information which includes the same user name as the washing user information and exists in the washing user power utilization information set, determining whether a user power utilization address included in alternative washing user power utilization information is the same as a user node address included in the washing user information, wherein the alternative washing user power utilization information is that: the washing user power utilization information comprises the same user name in the washing user power utilization information set and the same user name in the washing user information set;
in response to the fact that the user electricity utilization address included in the alternative cleaning user electricity utilization information is the same as the user node address included in the cleaning user information, combining the cleaning user information and the alternative cleaning user electricity utilization information into electricity information;
selecting power information of the user power utilization address in the target area from the generated power information as user power information to obtain a user power information group;
and constructing the user power information group into a user power information table.
3. The method according to claim 1, wherein the generating target area voidage information according to the information sequence of the individual monthly power consumptions included in the user power information table comprises:
generating hollow user information according to the monthly power consumption information sequence in each monthly power consumption information sequence;
and generating the hollow rate information of the target area according to the generated hollow user information.
4. The method of claim 3, wherein the daily charge information in the sequence of daily charge information comprises: the daily electricity consumption; and
generating hollow user information according to the monthly electricity consumption information sequence, wherein the generating hollow user information comprises the following steps:
determining whether monthly electricity consumption information meeting a first preset condition exists in the monthly electricity consumption information sequence, wherein the first preset condition is as follows: the monthly electricity consumption information comprises daily electricity consumption information sequences, wherein the quantity of the daily electricity consumption which is continuously 0 in the daily electricity consumption information sequences is more than or equal to a first quantity;
generating a monthly hollow user identifier corresponding to the monthly power consumption information sequence in response to determining that the monthly power consumption information meeting the first preset condition exists in the monthly power consumption information sequence;
determining whether each piece of monthly electricity consumption information in the monthly electricity consumption information sequence meets the first preset condition;
generating a long-term hollow user identifier corresponding to the monthly electricity consumption information sequence in response to determining that each piece of monthly electricity consumption information in the monthly electricity consumption information sequence meets the first preset condition;
and combining the monthly hollow user identification and the long-term hollow user identification into hollow user information.
5. The method of claim 4, wherein generating customer information from the sequence of monthly power usage information comprises:
responding to the fact that the monthly power consumption information meeting the first preset condition does not exist in the monthly power consumption information sequence, and determining whether monthly power consumption information meeting a second preset condition exists in the monthly power consumption information sequence or not, wherein the second preset condition is as follows: in the daily electricity consumption information sequence included in the monthly electricity consumption information, the quantity of each daily electricity consumption in a target value interval is more than or equal to the first quantity, the variance of each daily electricity consumption in the target value interval is less than or equal to a preset value, and the target value interval is as follows: greater than 0 and less than the target value;
generating a monthly hollow user identifier corresponding to the monthly power consumption information sequence in response to determining that the monthly power consumption information meeting the second preset condition exists in the monthly power consumption information sequence;
and combining the monthly hollow user identification and the long-term hollow user identification into hollow user information.
6. The method according to one of claims 1-5, wherein the method further comprises:
and replacing and adjusting the power equipment in the target area according to the target area hollow rate information.
7. An area hollow rate information generating apparatus comprising:
the collection unit is configured to collect user information and user power consumption information of each user node in an alternative area to obtain a user information set and a user power consumption information set, wherein the user information comprises a user name and a user node address, and the user power consumption information comprises: the method comprises the following steps of user name and a monthly electricity consumption information sequence, wherein monthly electricity consumption information in the monthly electricity consumption information sequence comprises the following steps: a daily electricity quantity information sequence;
the cleaning unit is configured to respectively perform data cleaning processing on the user information set and the user power utilization information set to generate a cleaning user information set and a cleaning user power utilization information set;
a first generating unit configured to generate a user power information table of a target area according to the cleaning user information set and the cleaning user power consumption information set;
and the second generating unit is configured to generate target area hollow rate information according to the information sequence of the monthly power consumption included in the user power information table.
8. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-6.
9. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-6.
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Effective date of registration: 20231121 Address after: 100085 32-3-4108-4109, building 32, Chuangye Middle Road, Haidian District, Beijing Patentee after: BEIJING GUODIANTONG NETWORK TECHNOLOGY Co.,Ltd. Patentee after: STATE GRID INFORMATION & TELECOMMUNICATION GROUP Co.,Ltd. Patentee after: State Grid Siji Location Service Co.,Ltd. Address before: Building A, Dongxu International Center, Fengtai District, Beijing 100071 Patentee before: BEIJING GUODIANTONG NETWORK TECHNOLOGY Co.,Ltd. Patentee before: STATE GRID INFORMATION & TELECOMMUNICATION GROUP Co.,Ltd. |